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-time, and reliable. The goal of this PhD research is to design, model and implement mechanisms for distributed reconfiguration of automotive resources in a real-time and predictable manner. Efficient
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: To research, design, implement, and evaluate an ultra-low-power Spiking Neural Network (SNN) architecture that leverages in-memory computing principles for efficient online learning. Background: The field
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7441 Job description Do you have an interest in innovation, strategy, entrepreneurship
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to effective innovative education. You will have the opportunity to use your creativity for designing, guiding and assessing new inspiring learning activities for the students, while we will guide you in your
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7456 Job description Are you fascinated by the question of how society can be carbon
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and consequently take the necessary countermeasures. The proposed techniques will be validated using simulation tools and experimental set ups. One of the PhD positions focusses on the design and
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physics & plasma chemistry pathways, the product spectrum of CO2 upgrading, product identification, process parameters, reactor design and construction of the experimental setup. Then, experimental
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and mapping into programmable layout designs on chip, exploiting multi-project wafer and dedicated runs on IMOS, to include laser sources, modulators, PDs and all devices needed for enabling neural
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To research, design, implement, and evaluate new methods for streaming data management, that can handle hundreds of millions of updates per second. Irène Curie Fellowship No Department(s
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7447 Job description You will develop a peer to peer information system for data sharing